Lovelytics

Data, AI, and analytics consulting

Head of Anthropic Forward Deployed Engineering

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

A bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent experience.
At least 10 years of experience in software engineering, AI engineering, machine learning, or data engineering.
Demonstrated experience architecting and deploying enterprise data client engagements while leading a team.
Hands-on experience with Cowork and Code, including designing, building, and deploying AI workflows and enterprise AI applications.
Expertise in Python and modern software engineering practices.
Proven ability to build applications using large language models, including prompt engineering, retrieval-augmented generation, AI agents, tool calling, and orchestration frameworks.
Strong understanding of APIs, distributed systems, authentication, and enterprise application architecture.
Experience in a client-facing consulting, professional services, solutions engineering, or technical advisory role.
Willingness to travel and work on client sites 20–40% of the time.

Responsibilities

Serve as the lead architect and technical authority for all Anthropic client engagements.
Establish the foundation for the Forward Deployed Engineering Practice and build the team needed to scale it effectively.
Design, build, and deploy enterprise AI applications leveraging Anthropic Claude and the broader Anthropic ecosystem.
Partner with clients to understand business objectives and translate them into scalable AI solution architectures.
Lead technical discovery sessions, architecture workshops, and solution design discussions with client stakeholders.
Establish technical standards, best practices, and reusable reference architectures for Anthropic implementations.
Develop reusable delivery and implementation methodologies to scale the Anthropic practice.
Support business development through technical solutioning, client presentations, demonstrations, and proposal development in partnership with the Anthropic go-to-market team.
Stay current on advancements in generative AI and identify opportunities to improve delivery, automation, and client value.
Develop production-ready applications utilizing large language models, retrieval-augmented generation, AI agents, tool use, Model Context Protocol, and modern AI orchestration frameworks.
Architect secure integrations between AI applications, enterprise data platforms, APIs, and cloud infrastructure.
Build and manage the Forward Deployed Engineering team within the Anthropic practice.
Develop Lovelytics’ delivery intellectual property relating to Anthropic.

Desired Qualifications

Experience with Anthropic Claude, Model Context Protocol, Databricks, LangGraph, LangChain, LlamaIndex, or similar AI technologies is strongly preferred.

Founded in 2017, Lovelytics helps some of the most complex enterprises across Energy & Utilities, Media & Entertainment, Manufacturing, Retail & CPG, Healthcare and Financial Services modernize their data and put AI to work, not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics.

Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization. All of it is delivered primarily on Databricks, with deep partnerships across AWS, Azure, and GCP.

In September 2026, Lovelytics became a CDW company. CDW completed its acquisition on September 25, 2026, bringing our team into its Data & Analytics Practice. Together, we can take customers from data strategy to production AI with a single partner across the full technology lifecycle.

Lovelytics now has 600+ people across the United States, Canada, Argentina, and Colombia, all working exclusively in data and AI. We’ve kept the technically excellent, low-ego culture that earned us a Best Places to Work recognition, a spot among Databricks’ top partners, and three appearances on the Inc. 5000.

Lovelytics is looking for a Head of Anthropic Forward Deployed Engineering to serve as both a hands-on client facing technical leader, as well as helping us build out and expand our Anthropic FDE team. This role would play the lead FDE role on Lovelytics’ Anthropic clients, and also lead the building and management of the FDE team at Lovelytics within the Anthropic practice.

The Head of Anthropic Forward Deployed Engineering is responsible for owning our technical leadership on projects, building a team of technical Anthropic experts, and supporting the development of Lovelytics’ delivery IP as it relates to Anthropic.

Primary Responsibilities

Serve as the lead architect and technical authority for all Anthropic client engagements.
Establish the foundation for Lovelytics’ Forward Deployed Engineering Practice and build the team needed to scale it effectively.
Design, build, and deploy enterprise AI applications leveraging Anthropic Claude and the broader Anthropic ecosystem.
Partner with clients to understand business objectives and translate them into scalable AI solution architectures.
Lead technical discovery sessions, architecture workshops, and solution design discussions with client stakeholders.
Establish technical standards, best practices, and reusable reference architectures for Anthropic implementations.
Develop reusable delivery and implementation methodologies to scale the Anthropic practice.
Support business development efforts through technical solutioning, client presentations, demonstrations, and proposal development in partnership with Lovelytics Anthropic GTM team.
Stay current on advancements in generative AI and continuously identify opportunities to improve delivery, automation, and client value.
Develop production-ready applications utilizing LLMs, Retrieval-Augmented Generation (RAG), AI agents, tool use, Model Context Protocol (MCP), and modern AI orchestration frameworks.
Architect secure integrations between AI applications, enterprise data platforms, APIs, and cloud infrastructure. — need to

Qualifications

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field (or equivalent experience).
10+ years of experience in software engineering, AI engineering, machine learning, or data engineering.
Demonstrated experience architecting and deploying enterprise data client engagements while leading a team.
Experience with Anthropic Claude, Model Context Protocol (MCP), Databricks, LangGraph, LangChain, LlamaIndex, or similar AI technologies is strongly preferred.
Hands-on experience with Cowork and Code, including designing, building, and deploying AI workflows and enterprise AI applications.
Expertise in Python and modern software engineering practices.
Proven ability to build applications using large language models (LLMs), including prompt engineering, RAG, AI agents, tool calling, and orchestration frameworks.
Strong understanding of APIs, distributed systems, authentication, and enterprise application architecture.
Experience in a client-facing consulting, professional services, solutions engineering, or technical advisory role.
Excellent communication and presentation skills with the ability to communicate effectively with both technical and executive audiences.
Willingness to travel and work on client sites (20-40%)

Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.

About the Company

Lovelytics

Data, AI, and analytics consulting

Lovelytics helps large enterprises manage and use data as a data, AI, and analytics consultant. It designs modern data platforms, builds data pipelines, governance, migrations, visualizations, and applies generative AI and machine learning to solve real business problems. It differentiates itself with deep expertise in the Databricks ecosystem and strong technology partnerships (Databricks, Azure, Google Cloud, Tableau), plus growth through acquisitions to expand global reach. Its goal is to modernize clients’ data infrastructure and deploy AI in practical, measurable ways to deliver tangible business outcomes.

Company size: 501-1,000
Company stage: Acquired
Total funding: Not listed
Headquarters: Arlington County, VA
Founded: 2017

Recently Posted Jobs

Explore more opportunities at Lovelytics

See more jobs